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Fingerprint Dive into the research topics where Benjamin Kellenberger is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Researchers
Neural networks Engineering & Materials Science
Animals Engineering & Materials Science
Unmanned aerial vehicles (UAV) Engineering & Materials Science
Curricula Engineering & Materials Science
Antennas Engineering & Materials Science
Optimal Transport Mathematics
Mammals Engineering & Materials Science
Image acquisition Engineering & Materials Science

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Research Output 2018 2019

  • 5 Conference contribution
  • 4 Paper
  • 2 Article

Best practices to train deep models on imbalanced datasets—a case study on animal detection in aerial imagery

Kellenberger, B., Marcos, D. & Tuia, D., 1 Jan 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Brefeld, U., Marascu, A., Pinelli, F., Curry, E., MacNamee, B., Hurley, N., Daly, E. & Berlingerio, M. (eds.). Springer Verlag, p. 630-634 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Best Practice
Curricula
Recommendations
Animals
Antennas

A Deep Network Approach to Multitemporal Cloud Detection

Tuia, D., Kellenberger, B., Perez-suey, A. & Camps-valls, G., 5 Nov 2018, 2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings: Observing, Understanding And Forecasting The Dynamics Of Our Planet. IEEE Xplore, p. 4351-4354

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
Meteosat
pixel
learning
time series
detection
Open Access
Curricula
Animals
Antennas
Neural networks
2 Citations (Scopus)

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

Damodaran, B. B., Kellenberger, B., Flamary, R., Tuia, D. & Courty, N., 6 Oct 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Springer Verlag, p. 467-483 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11208 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Optimal Transport
Joint Distribution
Classifiers
Classifier
Computer vision

Deep learning based methods for building segmentation from remote sensing data

Lobry, S., Marcos Gonzalez, D., Vargas Munoz, J., Kellenberger, B. A., Srivastava, S. & Tuia, D., 2018. 4 p.

Research output: Contribution to conferencePaperAcademic

Projects 2017 2017

tbd

Kellenberger, B., Bregt, A. & Tuia, D.

1/08/17 → …

Project: PhD